{"id":"https://openalex.org/W7225292146","doi":"https://doi.org/10.5281/zenodo.23969719","title":"Artificial Intelligence in Non-Traditional Machining: A Comprehensive Review of Process Optimization, Prediction, Monitoring, and Intelligent Manufacturing","display_name":"Artificial Intelligence in Non-Traditional Machining: A Comprehensive Review of Process Optimization, Prediction, Monitoring, and Intelligent Manufacturing","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225292146","doi":"https://doi.org/10.5281/zenodo.23969719"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23969719","doi":"https://doi.org/10.5281/zenodo.23969719","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23969719","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23969719","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121687780","display_name":"Sayeed Baig","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sayeed Baig","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116202824","display_name":"Sowmya PR","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sowmya PR","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121603401","display_name":"Rishitha Rasineni","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rishitha Rasineni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121647708","display_name":"Vaibhav M","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vaibhav M","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12092","display_name":"Erosion and Abrasive Machining","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/non-traditional-machining","display_name":"non-traditional machining","score":0.9620000123977661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.8970000147819519},{"id":"https://openalex.org/keywords/electrical-discharge-machining","display_name":"electrical discharge machining","score":0.8730000257492065},{"id":"https://openalex.org/keywords/wire-electrical-discharge-machining","display_name":"wire electrical discharge machining","score":0.9959999918937683},{"id":"https://openalex.org/keywords/electrochemical-machining","display_name":"electrochemical machining","score":1.0},{"id":"https://openalex.org/keywords/laser-machining","display_name":"laser machining","score":0.9990000128746033},{"id":"https://openalex.org/keywords/abrasive-water-jet-machining","display_name":"abrasive water jet machining","score":0.9980000257492065},{"id":"https://openalex.org/keywords/process-parameter-optimization","display_name":"process parameter optimization","score":0.8849999904632568},{"id":"https://openalex.org/keywords/material-removal-rate-prediction","display_name":"material removal rate prediction","score":0.8650000095367432},{"id":"https://openalex.org/keywords/surface-roughness-prediction","display_name":"surface roughness prediction","score":0.9860000014305115},{"id":"https://openalex.org/keywords/process-monitoring","display_name":"process monitoring","score":0.6790000200271606},{"id":"https://openalex.org/keywords/smart-manufacturing","display_name":"smart manufacturing","score":0.5609999895095825},{"id":"https://openalex.org/keywords/physics-informed-machine-learning","display_name":"physics-informed machine learning","score":0.8240000009536743},{"id":"https://openalex.org/keywords/uncertainty-aware-prediction","display_name":"uncertainty-aware prediction","score":0.8550000190734863},{"id":"https://openalex.org/keywords/digital-twin","display_name":"digital twin","score":0.9900000095367432},{"id":"https://openalex.org/keywords/multimodal-sensing","display_name":"multimodal sensing","score":0.972000002861023},{"id":"https://openalex.org/keywords/closed-loop-validation","display_name":"closed-loop validation","score":0.7379999756813049},{"id":"https://openalex.org/keywords/brittle-materials","display_name":"brittle materials","score":0.515999972820282}],"concepts":[{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5232999920845032},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C140075996","wikidata":"https://www.wikidata.org/wiki/Q577484","display_name":"Electrical discharge machining","level":3,"score":0.5144000053405762},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5012999773025513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44119998812675476},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.43389999866485596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4108999967575073},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C2780841897","wikidata":"https://www.wikidata.org/wiki/Q25349015","display_name":"Digital manufacturing","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3249000012874603},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.31290000677108765},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23969719","doi":"https://doi.org/10.5281/zenodo.23969719","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23969719","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.23969720","doi":"https://doi.org/10.5281/zenodo.23969720","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23969720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23969719","doi":"https://doi.org/10.5281/zenodo.23969719","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23969719","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.428600013256073}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7225115999","https://openalex.org/W7223227773","https://openalex.org/W7171775426","https://openalex.org/W4388422107","https://openalex.org/W7163641498","https://openalex.org/W4206431842","https://openalex.org/W3011024364","https://openalex.org/W7224832574","https://openalex.org/W4391981424","https://openalex.org/W3152836776"],"abstract_inverted_index":{"Non-traditional":[0],"machining":[1,70],"processes":[2],"are":[3,130],"increasingly":[4],"used":[5],"for":[6,43,141,192],"difficult-to-machine":[7],"alloys,":[8],"brittle":[9],"materials,":[10],"intricate":[11],"geometries,":[12],"and":[13,33,56,91,106,127,145,156,176,182,201],"micro-scale":[14],"features":[15],"where":[16],"conventional":[17],"cutting":[18],"may":[19],"be":[20],"limited.":[21],"Their":[22],"performance,":[23],"however,":[24],"depends":[25],"on":[26,74],"strongly":[27],"coupled":[28],"electrical,":[29],"thermal,":[30],"chemical,":[31],"mechanical,":[32],"fluidic":[34],"phenomena.":[35],"Artificial":[36],"intelligence":[37],"(AI)":[38],"provides":[39],"a":[40],"data-driven":[41],"layer":[42],"modelling":[44],"these":[45],"nonlinear":[46],"relationships,":[47],"predicting":[48],"quality,":[49],"selecting":[50],"process":[51,102],"parameters,":[52],"identifying":[53],"unstable":[54],"states,":[55],"supporting":[57],"adaptive":[58],"control.":[59,108],"This":[60],"paper":[61,189],"reviews":[62],"the":[63,139,161,177,205],"role":[64],"of":[65,148,208],"AI":[66,136],"across":[67],"major":[68],"non-traditional":[69,210],"processes,":[71],"with":[72],"emphasis":[73],"electrical":[75,79],"discharge":[76,80],"machining,":[77,81,83,86,90],"wire":[78],"electrochemical":[82],"laser":[84],"beam":[85],"abrasive":[87],"water":[88],"jet":[89],"related":[92],"processes.":[93],"The":[94,188],"review":[95],"organizes":[96],"existing":[97],"work":[98],"into":[99],"four":[100],"functions:":[101],"optimization,":[103,124],"prediction,":[104,196],"monitoring,":[105],"intelligent":[107,209],"Representative":[109],"studies":[110],"using":[111],"artificial":[112],"neural":[113],"networks,":[114],"support":[115],"vector":[116],"machines,":[117],"fuzzy":[118],"systems,":[119],"genetic":[120],"algorithms,":[121],"particle":[122],"swarm":[123],"ensemble":[125],"learning,":[126,194],"deep":[128],"learning":[129],"examined.":[131],"Recent":[132],"evidence":[133],"shows":[134],"that":[135],"can":[137],"reduce":[138],"need":[140],"repeated":[142],"physical":[143],"trials":[144],"improve":[146],"prediction":[147,181],"material":[149],"removal":[150],"rate,":[151],"surface":[152],"roughness,":[153],"kerf":[154],"characteristics,":[155],"other":[157],"quality":[158],"indicators.":[159],"At":[160],"same":[162],"time,":[163],"small":[164],"experimental":[165],"datasets,":[166],"material-specific":[167],"models,":[168],"weak":[169],"external":[170],"validation,":[171],"sensor":[172],"variability,":[173],"limited":[174],"interpretability,":[175],"gap":[178],"between":[179],"offline":[180],"real-time":[183],"control":[184],"remain":[185],"important":[186],"barriers.":[187],"therefore":[190],"argues":[191],"physics-informed":[193],"uncertainty-aware":[195],"digital":[197],"twins,":[198],"multimodal":[199],"sensing,":[200],"closed-loop":[202],"validation":[203],"as":[204],"next":[206],"stage":[207],"machining.":[211]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}
